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Aditya Kanade
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2020 – today
- 2024
- [j6]Ramakrishna Bairi
, Atharv Sonwane
CodePlan: Repository-Level Coding using LLMs and Planning. Proc. ACM Softw. Eng. 1(FSE): 675-698 (2024) - [j5]Nalin Wadhwa
CORE: Resolving Code Quality Issues using LLMs. Proc. ACM Softw. Eng. 1(FSE): 789-811 (2024) - [c35]Harshit Joshi
FLAME: A Small Language Model for Spreadsheet Formulas. AAAI 2024: 12995-13003 - [c34]Surya Prakash Sahu
CodeQueries: A Dataset of Semantic Queries over Code. ISEC 2024: 7:1-7:11 - [i26]Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade:
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness. CoRR abs/2401.15963 (2024) - [i25]Ajinkya Pankaj Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy:
Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. CoRR abs/2405.01573 (2024) - [i24]Daman Arora, Atharv Sonwane, Nalin Wadhwa, Abhav Mehrotra, Saiteja Utpala, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan:
MASAI: Modular Architecture for Software-engineering AI Agents. CoRR abs/2406.11638 (2024) - [i23]Usneek Singh, José Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen:
An Empirical Study of Validating Synthetic Data for Formula Generation. CoRR abs/2407.10657 (2024) - 2023
- [c33]Aditya Kanade, Mansi Sharma, Manivannan Muniyandi
Attention-Guided Deep Learning Framework For Movement Quality Assessment. ICASSP 2023: 1-5 - [c32]Lakshya A. Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani:
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context. NeurIPS 2023 - [c31]Priyanshu Gupta
Grace: Language Models Meet Code Edits. ESEC/SIGSOFT FSE 2023: 1483-1495 - [i22]Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen:
FLAME: A small language model for spreadsheet formulas. CoRR abs/2301.13779 (2023) - [i21]Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna
GrACE: Generation using Associated Code Edits. CoRR abs/2305.14129 (2023) - [i20]Lakshya A. Agrawal
Guiding Language Models of Code with Global Context using Monitors. CoRR abs/2306.10763 (2023) - [i19]Naman Jain, Shubham Gandhi
StaticFixer: From Static Analysis to Static Repair. CoRR abs/2307.12465 (2023) - [i18]Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C., Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, Shashank Shet:
CodePlan: Repository-level Coding using LLMs and Planning. CoRR abs/2309.12499 (2023) - [i17]Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram K. Rajamani:
Frustrated with Code Quality Issues? LLMs can Help! CoRR abs/2309.12938 (2023) - 2022
- [c30]Aditya Kanade
Tele-EvalNet: A Low-Cost, Teleconsultation System for Home Based Rehabilitation of Stroke Survivors Using Multiscale CNN-ConvLSTM Architecture. ECCV Workshops (6) 2022: 738-750 - [c29]Aditya Kanade:
Automating Software Engineering with Machine Learning. ISEC 2022: 1:1 - [i16]Aditya Kanade, Mansi Sharma, Manivannan Muniyandi:
A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment. CoRR abs/2204.07840 (2022) - [i15]Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade:
Learning to Answer Semantic Queries over Code. CoRR abs/2209.08372 (2022) - [i14]Ravi Raja, Stanly Samuel, Chiranjib Bhattacharyya, Deepak D'Souza, Aditya Kanade:
BNSynth: Bounded Boolean Functional Synthesis. CoRR abs/2212.08170 (2022) - 2021
- [i13]Soham Pal, Yash Gupta, Aditya Kanade, Shirish K. Shevade:
Stateful Detection of Model Extraction Attacks. CoRR abs/2107.05166 (2021) - [i12]Aditya Kanade, Mansi Sharma, M. Manivannan:
Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture. CoRR abs/2112.03168 (2021) - 2020
- [c28]Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy:
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. AAAI 2020: 865-872 - [c27]Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi:
Learning and Evaluating Contextual Embedding of Source Code. ICML 2020: 5110-5121 - [i11]Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi:
Pre-trained Contextual Embedding of Source Code. CoRR abs/2001.00059 (2020)
2010 – 2019
- 2019
- [j4]Aditya Kanade:
Chapter Seven - Event-Based Concurrency: Applications, Abstractions, and Analyses. Adv. Comput. 112: 379-412 (2019) - [c26]Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. AAAI 2019: 930-937 - [c25]Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh:
Neural Program Repair by Jointly Learning to Localize and Repair. ICLR (Poster) 2019 - [c24]Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Neural Attribution for Semantic Bug-Localization in Student Programs. NeurIPS 2019: 11861-11871 - [i10]Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh:
Neural Program Repair by Jointly Learning to Localize and Repair. CoRR abs/1904.01720 (2019) - [i9]Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy:
A framework for the extraction of Deep Neural Networks by leveraging public data. CoRR abs/1905.09165 (2019) - [i8]Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Learning for Bug-Localization in Student Programs. CoRR abs/1905.12454 (2019) - 2018
- [c23]Ishan Rastogi, Aditya Kanade, Shirish K. Shevade:
Active Learning for Efficient Testing of Student Programs. AIED (2) 2018: 296-300 - [i7]Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Reinforcement Learning for Programming Language Correction. CoRR abs/1801.10467 (2018) - [i6]Ishan Rastogi, Aditya Kanade, Shirish K. Shevade:
Active Learning for Efficient Testing of Student Programs. CoRR abs/1804.05655 (2018) - [i5]Ketan Patil, Aditya Kanade:
Greybox fuzzing as a contextual bandits problem. CoRR abs/1806.03806 (2018) - 2017
- [c22]Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade:
DeepFix: Fixing Common C Language Errors by Deep Learning. AAAI 2017: 1345-1351 - [c21]Pallavi Maiya, Aditya Kanade:
Efficient computation of happens-before relation for event-driven programs. ISSTA 2017: 102-112 - [c20]Anirudh Santhiar, Aditya Kanade:
Static deadlock detection for asynchronous C# programs. PLDI 2017: 292-305 - 2016
- [c19]Anirudh Santhiar, Shalini Kaleeswaran, Aditya Kanade:
Efficient race detection in the presence of programmatic event loops. ISSTA 2016: 366-376 - [c18]Ashish Mishra
Asynchrony-aware static analysis of Android applications. MEMOCODE 2016: 163-172 - [c17]Shalini Kaleeswaran, Anirudh Santhiar, Aditya Kanade, Sumit Gulwani:
Semi-supervised verified feedback generation. SIGSOFT FSE 2016: 739-750 - [c16]Pallavi Maiya, Rahul Gupta, Aditya Kanade, Rupak Majumdar:
Partial Order Reduction for Event-Driven Multi-threaded Programs. TACAS 2016: 680-697 - [i4]Shalini Kaleeswaran, Anirudh Santhiar, Aditya Kanade, Sumit Gulwani:
Semi-Supervised Verified Feedback Generation. CoRR abs/1603.04584 (2016) - 2015
- [j3]Jay Thakkar, Aditya Kanade:
Non-deterministic transducer models of retransmission protocols over noisy channels. Inf. Process. Lett. 115(9): 694-698 (2015) - [c15]Ivan Gavran, Filip Niksic, Aditya Kanade, Rupak Majumdar, Viktor Vafeiadis
Rely/Guarantee Reasoning for Asynchronous Programs. CONCUR 2015: 483-496 - [c14]Mohammed Afraz, Diptikalyan Saha, Aditya Kanade:
P3: partitioned path profiling. ESEC/SIGSOFT FSE 2015: 485-495 - [i3]Pallavi Maiya, Rahul Gupta, Aditya Kanade, Rupak Majumdar:
A Partial Order Reduction Technique for Event-driven Multi-threaded Programs. CoRR abs/1511.03213 (2015) - 2014
- [j2]Anirudh Santhiar, Omesh Pandita, Aditya Kanade:
Mining Unit Tests for Discovery and Migration of Math APIs. ACM Trans. Softw. Eng. Methodol. 24(1): 4:1-4:33 (2014) - [c13]Shalini Kaleeswaran, Varun Tulsian, Aditya Kanade, Alessandro Orso:
MintHint: automated synthesis of repair hints. ICSE 2014: 266-276 - [c12]Varun Tulsian, Aditya Kanade, Rahul Kumar, Akash Lal, Aditya V. Nori:
MUX: algorithm selection for software model checkers. MSR 2014: 132-141 - [c11]Pallavi Maiya, Aditya Kanade, Rupak Majumdar:
Race detection for Android applications. PLDI 2014: 316-325 - 2013
- [c10]Anirudh Santhiar, Omesh Pandita, Aditya Kanade:
Discovering Math APIs by Mining Unit Tests. FASE 2013: 327-342 - [c9]Jay Thakkar, Aditya Kanade, Rajeev Alur:
Transducer-Based Algorithmic Verification of Retransmission Protocols over Noisy Channels. FMOODS/FORTE 2013: 209-224 - [i2]Shalini Kaleeswaran, Varun Tulsian, Aditya Kanade, Alessandro Orso:
MintHint: Automated Synthesis of Repair Hints. CoRR abs/1306.1286 (2013) - 2012
- [c8]Pranavadatta Devaki, Aditya Kanade:
Static Analysis for Checking Data Format Compatibility of Programs. FSTTCS 2012: 522-533 - [i1]Aditya Kanade, Amitabha Sanyal, Uday P. Khedker:
A Logic for Correlating Temporal Properties across Program Transformations. CoRR abs/1209.5152 (2012) - 2010
- [c7]Aditya Kanade, Rajeev Alur, Sriram K. Rajamani, Ganesan Ramalingam:
Representation dependence testing using program inversion. SIGSOFT FSE 2010: 277-286
2000 – 2009
- 2009
- [j1]Aditya Kanade, Amitabha Sanyal, Uday P. Khedker:
Validation of GCC optimizers through trace generation. Softw. Pract. Exp. 39(6): 611-639 (2009) - [c6]Aditya Kanade, Rajeev Alur, Franjo Ivancic, S. Ramesh, Sriram Sankaranarayanan, K. C. Shashidhar:
Generating and Analyzing Symbolic Traces of Simulink/Stateflow Models. CAV 2009: 430-445 - 2008
- [c5]Rajeev Alur, Aditya Kanade, Gera Weiss
Ranking Automata and Games for Prioritized Requirements. CAV 2008: 240-253 - [c4]Rajeev Alur, Aditya Kanade, S. Ramesh, K. C. Shashidhar:
Symbolic analysis for improving simulation coverage of Simulink/Stateflow models. EMSOFT 2008: 89-98 - 2006
- [c3]Aditya Kanade, Amitabha Sanyal, Uday P. Khedker:
A PVS Based Framework for Validating Compiler Optimizations. SEFM 2006: 108-117 - [c2]Aditya Kanade, Amitabha Sanyal, Uday P. Khedker:
Structuring Optimizing Transformations and Proving Them Sound. COCV@ETAPS 2006: 79-95 - 2005
- [c1]Aditya Kanade, Uday P. Khedker, Amitabha Sanyal:
Heterogeneous Fixed Points with Application to Points-To Analysis. APLAS 2005: 298-314
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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